- Patent Title: Systems and methods for real-time machine learning model training
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Application No.: US15629422Application Date: 2017-06-21
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Publication No.: US11750552B2Publication Date: 2023-09-05
- Inventor: Kyle Habermehl , Karen Lochbaum , Robert Sanders , Walter Denny Way , Ryan Calme
- Applicant: Pearson Education, Inc.
- Applicant Address: US NY New York
- Assignee: PEARSON EDUCATION, INC.
- Current Assignee: PEARSON EDUCATION, INC.
- Current Assignee Address: US NY New York
- Agency: QUARLES & BRADY LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; H04L51/226 ; G06Q10/00 ; G06Q10/101 ; G06Q30/0201 ; H04L51/02

Abstract:
Systems and methods for automated evaluation system routing are described herein. The system can include a memory, which can include a model database and a correlation database. The system can include a first user device and a second user device. The system can include at least one server. The at least one server can: receive a response communication from the user device; generate an initial evaluation value according to an AI model; determine a correlation between the initial evaluation value and evaluation range data; accept the initial evaluation value when the correlation exceeds a threshold value; and route the response communication to the second user device for generation of an elevated evaluation value when the correlation does not exceed the threshold value.
Public/Granted literature
- US20170364832A1 SYSTEMS AND METHODS FOR REAL-TIME MACHINE LEARNING MODEL TRAINING Public/Granted day:2017-12-21
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